by 7df-lab
Model-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible / Anthropic-compatible model API. Tested on DeepSeek, Qwen, Kimi, GLM models. Supports MCP, Skills,and local code search.
# Add to your Claude Code skills
git clone https://github.com/7df-lab/devoLast scanned: 6/27/2026
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"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh\"",
"severity": "low"
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"status": "PASSED",
"scannedAt": "2026-06-27T06:52:11.481Z",
"npmAuditRan": true,
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}See how devo compares with popular alternatives.
devo is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by 7df-lab. Model-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible / Anthropic-compatible model API. Tested on DeepSeek, Qwen, Kimi, GLM models. Supports MCP, Skills,and local code search. It has 320 GitHub stars.
Yes. devo passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/7df-lab/devo" and add it to your Claude Code skills directory (see the Installation section above).
devo is primarily written in Rust. It is open-source under 7df-lab on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh devo against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Devo is an open-source coding agent with a Desktop app, terminal TUI/CLI, and model-neutral Rust runtime for private, enterprise, and OpenAI-compatible model environments. Connect DeepSeek, Qwen, Kimi, Anthropic-compatible APIs, local gateways, or your own model endpoint.
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Why Devo · Screenshots · Features · Tested Models · Tested Platforms · Install · Quick Start · Docs
Devo is for teams that need a coding agent outside a single hosted model ecosystem. It keeps the desktop experience, terminal workflow, model choice, runtime behavior, and workspace execution under your control.
devo mcp add|list|enable|disable|remove
(see Configuration).code_search / devo-code-search-mcp), not installed or enabled by
default. Runs a local CPU code-embedding model and combines dense retrieval
with BM25 keyword matching to reduce code-search context versus grep/find-only
agents. Install it explicitly with --with-code-search, then enable it with
devo mcp enable code_search or TUI /mcps.Devo's built-in model catalog includes tested model definitions for Qwen, Kimi, MiniMax, GLM, and DeepSeek. Provider endpoints remain configurable through provider/model Connections.
Devo has been tested on macOS, Linux, Windows, and Kylin OS.
Kylin OS coverage is called out because domestic operating systems are often part of real deployment requirements in Chinese enterprise environments. HarmonyOS support is on the roadmap; contributors with HarmonyOS devices are welcome to build, test, and publish releases for that platform.
Devo can be installed in two forms. Pick the Desktop app for a graphical coding agent workspace, the terminal-native TUI/CLI for shell-first development, or install both on the same machine.
Start here if you want the graphical Devo experience. Download the latest Devo Desktop package from GitHub Releases, then choose the asset that matches your operating system and architecture:
devo-desktop-...-mac-... .dmg or .zip asset.devo-desktop-...-windows-... .exe asset.devo-desktop-...-linux-... .AppImage, .deb, or
.rpm asset.If macOS reports that Devo.app is damaged and cannot be opened, this is
expected. Current macOS Desktop builds are unsigned, so after installing,
run the following command so macOS can launch the app:
sudo xattr -dr com.apple.quarantine /Applications/Devo.app
Install the terminal-native devo command if you prefer the TUI, want shell
automation, or want to use Devo alongside the Desktop app.
Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh
Windows:
irm 'https://raw.githubusercontent.com/7df-lab/devo/main/install.ps1' | iex
The online installer places devo under the Devo home directory and installs
the rg sidecar used for fast repository search. It does not install the
code_search MCP or its local model by default.
Use this only if you want the code-search MCP and its Hugging Face model installed during setup.
Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh -s -- --with-code-search
Windows:
$env:DEVO_INSTALL_CODE_SEARCH = "1"; irm 'https://raw.githubusercontent.com/7df-lab/devo/main/install.ps1' | iex
Upgrade an existing installation to the latest release:
devo upgrade
The upgrade command runs the same platform installer, and the installer prints
the version transition, for example Version: v0.1.12 -> v0.1.15.
For air-gapped or intranet installs, see Offline Installation.
Configure a provider, open a repository, and start the TUI:
cd /path/to/your/repo
devo onboard
Useful commands:
devo # start the interactive TUI in the current repo
devo resume <session-id>
devo onboard is the recommended setup path. It writes pro